text: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You under the Apache License, Version 2.0
  # (the "License"); you may not use this file except in compliance with
  # the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  from __future__ import print_function
  
  from pyspark import SparkContext
  from pyspark.sql import SQLContext
  # $example on$
  from pyspark.ml.feature import ChiSqSelector
  from pyspark.mllib.linalg import Vectors
  # $example off$
  
  if __name__ == "__main__":
      sc = SparkContext(appName="ChiSqSelectorExample")
      sqlContext = SQLContext(sc)
  
      # $example on$
      df = sqlContext.createDataFrame([
          (7, Vectors.dense([0.0, 0.0, 18.0, 1.0]), 1.0,),
          (8, Vectors.dense([0.0, 1.0, 12.0, 0.0]), 0.0,),
          (9, Vectors.dense([1.0, 0.0, 15.0, 0.1]), 0.0,)], ["id", "features", "clicked"])
  
      selector = ChiSqSelector(numTopFeatures=1, featuresCol="features",
                               outputCol="selectedFeatures", labelCol="clicked")
  
      result = selector.fit(df).transform(df)
      result.show()
      # $example off$
  
      sc.stop()
  